Dataset statistics
| Number of variables | 17 |
|---|---|
| Number of observations | 71102 |
| Missing cells | 26318 |
| Missing cells (%) | 2.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 9.2 MiB |
| Average record size in memory | 136.0 B |
Variable types
| NUM | 9 |
|---|---|
| CAT | 8 |
anio has constant value "71102" | Constant |
Geo Point has a high cardinality: 22930 distinct values | High cardinality |
Geo Shape has a high cardinality: 22922 distinct values | High cardinality |
colonia has a high cardinality: 1340 distinct values | High cardinality |
consumo_prom_no_dom is highly correlated with consumo_prom | High correlation |
consumo_prom is highly correlated with consumo_prom_no_dom | High correlation |
gid is highly correlated with bimestre | High correlation |
bimestre is highly correlated with gid | High correlation |
alcaldia is highly correlated with nomgeo | High correlation |
nomgeo is highly correlated with alcaldia | High correlation |
consumo_total_mixto has 8327 (11.7%) missing values | Missing |
consumo_prom_dom has 4820 (6.8%) missing values | Missing |
consumo_total_dom has 4820 (6.8%) missing values | Missing |
consumo_prom_mixto has 8327 (11.7%) missing values | Missing |
consumo_total_mixto is highly skewed (γ1 = 21.76535468) | Skewed |
consumo_prom_dom is highly skewed (γ1 = 74.81862948) | Skewed |
consumo_prom_mixto is highly skewed (γ1 = 43.60044406) | Skewed |
consumo_prom is highly skewed (γ1 = 43.38268186) | Skewed |
consumo_prom_no_dom is highly skewed (γ1 = 40.71654298) | Skewed |
consumo_total_no_dom is highly skewed (γ1 = 22.5073679) | Skewed |
Geo Point is uniformly distributed | Uniform |
Geo Shape is uniformly distributed | Uniform |
gid has unique values | Unique |
consumo_total_mixto has 17715 (24.9%) zeros | Zeros |
consumo_prom_dom has 9861 (13.9%) zeros | Zeros |
consumo_total_dom has 9861 (13.9%) zeros | Zeros |
consumo_prom_mixto has 17715 (24.9%) zeros | Zeros |
consumo_total has 2451 (3.4%) zeros | Zeros |
consumo_prom has 2451 (3.4%) zeros | Zeros |
consumo_prom_no_dom has 8109 (11.4%) zeros | Zeros |
consumo_total_no_dom has 8109 (11.4%) zeros | Zeros |
Reproduction
| Analysis started | 2020-09-30 21:14:42.229383 |
|---|---|
| Analysis finished | 2020-09-30 21:14:58.775450 |
| Duration | 16.55 seconds |
| Software version | pandas-profiling v2.9.0 |
| Download configuration | config.yaml |
| Distinct | 22930 |
|---|---|
| Distinct (%) | 32.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 555.5 KiB |
| 19.4488818275,-99.1858947182 | 21 |
|---|---|
| 19.300946991,-99.1582172757 | 21 |
| 19.5031486487,-99.0890349339 | 21 |
| 19.4954597843,-99.2075157431 | 21 |
| 19.5108167751,-99.204214654 | 21 |
| Other values (22925) |
| Value | Count | Frequency (%) | |
| 19.4488818275,-99.1858947182 | 21 | < 0.1% | |
| 19.300946991,-99.1582172757 | 21 | < 0.1% | |
| 19.5031486487,-99.0890349339 | 21 | < 0.1% | |
| 19.4954597843,-99.2075157431 | 21 | < 0.1% | |
| 19.5108167751,-99.204214654 | 21 | < 0.1% | |
| 19.5143312067,-99.1436926134 | 21 | < 0.1% | |
| 19.5112685166,-99.1375628607 | 21 | < 0.1% | |
| 19.4966164619,-99.1930681289 | 13 | < 0.1% | |
| 19.4171689602,-99.1707142578 | 13 | < 0.1% | |
| 19.5116013649,-99.1412796081 | 12 | < 0.1% | |
| Other values (22920) | 70917 | 99.7% |
Frequencies of value counts
Unique
| Unique | 84 ? |
|---|---|
| Unique (%) | 0.1% |
Histogram of lengths of the category
Length
| Max length | 28 |
|---|---|
| Median length | 28 |
| Mean length | 27.78097663 |
| Min length | 23 |
| Distinct | 22922 |
|---|---|
| Distinct (%) | 32.2% |
| Missing | 24 |
| Missing (%) | < 0.1% |
| Memory size | 555.5 KiB |
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| Other values (22912) | 70893 | 99.7% | |
| (Missing) | 24 | < 0.1% |
Frequencies of value counts
Unique
| Unique | 84 ? |
|---|---|
| Unique (%) | 0.1% |
Histogram of lengths of the category
Length
| Max length | 61218 |
|---|---|
| Median length | 2723 |
| Mean length | 3294.849118 |
| Min length | 3 |
| Distinct | 24339 |
|---|---|
| Distinct (%) | 38.8% |
| Missing | 8327 |
| Missing (%) | 11.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 174.3599291 |
|---|---|
| Minimum | 0 |
| Maximum | 23404.44 |
| Zeros | 17715 |
| Zeros (%) | 24.9% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 79.94 |
| Q3 | 233.32 |
| 95-th percentile | 660.779 |
| Maximum | 23404.44 |
| Range | 23404.44 |
| Interquartile range (IQR) | 233.32 |
Descriptive statistics
| Standard deviation | 312.663596 |
|---|---|
| Coefficient of variation (CV) | 1.793207864 |
| Kurtosis | 1419.360189 |
| Mean | 174.3599291 |
| Median Absolute Deviation (MAD) | 79.94 |
| Skewness | 21.76535468 |
| Sum | 10945444.55 |
| Variance | 97758.52424 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 17715 | 24.9% | |
| 36 | 74 | 0.1% | |
| 17.7 | 61 | 0.1% | |
| 36.6 | 59 | 0.1% | |
| 18.3 | 54 | 0.1% | |
| 29.28 | 52 | 0.1% | |
| 57.96 | 50 | 0.1% | |
| 23.8 | 48 | 0.1% | |
| 43.32 | 47 | 0.1% | |
| 46.98 | 46 | 0.1% | |
| Other values (24329) | 44569 | 62.7% | |
| (Missing) | 8327 | 11.7% |
| Value | Count | Frequency (%) | |
| 0 | 17715 | 24.9% | |
| 0.12 | 1 | < 0.1% | |
| 0.24 | 4 | < 0.1% | |
| 0.27 | 3 | < 0.1% | |
| 0.35 | 4 | < 0.1% |
| Value | Count | Frequency (%) | |
| 23404.44 | 1 | < 0.1% | |
| 23058.9 | 1 | < 0.1% | |
| 23031.06 | 1 | < 0.1% | |
| 5979.71 | 1 | < 0.1% | |
| 5974.32 | 1 | < 0.1% |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 555.5 KiB |
| 2019 |
|---|
| Value | Count | Frequency (%) | |
| 2019 | 71102 | 100.0% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
| Distinct | 17 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 555.5 KiB |
| Iztapalapa | |
|---|---|
| Gustavo A. Madero | |
| Cuauhtémoc | |
| Benito Juárez | |
| Venustiano Carranza | |
| Other values (12) |
| Value | Count | Frequency (%) | |
| Iztapalapa | 10515 | 14.8% | |
| Gustavo A. Madero | 10058 | 14.1% | |
| Cuauhtémoc | 7313 | 10.3% | |
| Benito Juárez | 6049 | 8.5% | |
| Venustiano Carranza | 5179 | 7.3% | |
| Miguel Hidalgo | 5110 | 7.2% | |
| Coyoacán | 4947 | 7.0% | |
| Azcapotzalco | 4216 | 5.9% | |
| Álvaro Obregón | 4140 | 5.8% | |
| Iztacalco | 3469 | 4.9% | |
| Other values (7) | 10106 | 14.2% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 22 |
|---|---|
| Median length | 12 |
| Mean length | 12.40342044 |
| Min length | 6 |
| Distinct | 52060 |
|---|---|
| Distinct (%) | 78.5% |
| Missing | 4820 |
| Missing (%) | 6.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.13238577 |
|---|---|
| Minimum | 0 |
| Maximum | 7796.41 |
| Zeros | 9861 |
| Zeros (%) | 13.9% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 18.69054691 |
| median | 26.41424809 |
| Q3 | 36.24656251 |
| 95-th percentile | 59.39294171 |
| Maximum | 7796.41 |
| Range | 7796.41 |
| Interquartile range (IQR) | 17.5560156 |
Descriptive statistics
| Standard deviation | 64.56592495 |
|---|---|
| Coefficient of variation (CV) | 2.216293765 |
| Kurtosis | 7663.654738 |
| Mean | 29.13238577 |
| Median Absolute Deviation (MAD) | 8.738705357 |
| Skewness | 74.81862948 |
| Sum | 1930952.794 |
| Variance | 4168.758665 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 9861 | 13.9% | |
| 1.22 | 33 | < 0.1% | |
| 14.64 | 23 | < 0.1% | |
| 10.98 | 22 | < 0.1% | |
| 15.25 | 22 | < 0.1% | |
| 9.76 | 21 | < 0.1% | |
| 9.15 | 21 | < 0.1% | |
| 20.48 | 20 | < 0.1% | |
| 7.93 | 20 | < 0.1% | |
| 11.59 | 20 | < 0.1% | |
| Other values (52050) | 56219 | 79.1% | |
| (Missing) | 4820 | 6.8% |
| Value | Count | Frequency (%) | |
| 0 | 9861 | 13.9% | |
| 0.009999999776 | 1 | < 0.1% | |
| 0.02 | 1 | < 0.1% | |
| 0.12 | 2 | < 0.1% | |
| 0.1299999952 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 7796.41 | 1 | < 0.1% | |
| 7581.69 | 1 | < 0.1% | |
| 6073.459961 | 1 | < 0.1% | |
| 3726.5 | 1 | < 0.1% | |
| 3622.2 | 1 | < 0.1% |
| Distinct | 47051 |
|---|---|
| Distinct (%) | 71.0% |
| Missing | 4820 |
| Missing (%) | 6.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1186.263611 |
|---|---|
| Minimum | 0 |
| Maximum | 95060.69 |
| Zeros | 9861 |
| Zeros (%) | 13.9% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 161.635 |
| median | 604.185 |
| Q3 | 1261.445 |
| 95-th percentile | 4027.52 |
| Maximum | 95060.69 |
| Range | 95060.69 |
| Interquartile range (IQR) | 1099.81 |
Descriptive statistics
| Standard deviation | 2771.038307 |
|---|---|
| Coefficient of variation (CV) | 2.33593805 |
| Kurtosis | 248.0413047 |
| Mean | 1186.263611 |
| Median Absolute Deviation (MAD) | 517.3 |
| Skewness | 12.52320362 |
| Sum | 78627924.68 |
| Variance | 7678653.301 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 9861 | 13.9% | |
| 1.22 | 37 | 0.1% | |
| 10.98 | 21 | < 0.1% | |
| 3.66 | 20 | < 0.1% | |
| 14.64 | 20 | < 0.1% | |
| 25.62 | 20 | < 0.1% | |
| 18.3 | 19 | < 0.1% | |
| 15.25 | 19 | < 0.1% | |
| 7.93 | 19 | < 0.1% | |
| 17.69 | 18 | < 0.1% | |
| Other values (47041) | 56228 | 79.1% | |
| (Missing) | 4820 | 6.8% |
| Value | Count | Frequency (%) | |
| 0 | 9861 | 13.9% | |
| 0.12 | 1 | < 0.1% | |
| 0.24 | 1 | < 0.1% | |
| 0.5 | 2 | < 0.1% | |
| 0.6 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 95060.69 | 1 | < 0.1% | |
| 94021.7 | 1 | < 0.1% | |
| 90078.44 | 1 | < 0.1% | |
| 83309.94 | 1 | < 0.1% | |
| 82689.38 | 1 | < 0.1% |
| Distinct | 16 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 555.5 KiB |
| IZTAPALAPA | |
|---|---|
| GUSTAVO A. MADERO | |
| CUAUHTEMOC | |
| BENITO JUAREZ | |
| VENUSTIANO CARRANZA | |
| Other values (11) |
| Value | Count | Frequency (%) | |
| IZTAPALAPA | 10515 | 14.8% | |
| GUSTAVO A. MADERO | 10058 | 14.1% | |
| CUAUHTEMOC | 7313 | 10.3% | |
| BENITO JUAREZ | 6049 | 8.5% | |
| VENUSTIANO CARRANZA | 5179 | 7.3% | |
| MIGUEL HIDALGO | 5110 | 7.2% | |
| COYOACAN | 4947 | 7.0% | |
| AZCAPOTZALCO | 4216 | 5.9% | |
| ALVARO OBREGON | 4140 | 5.8% | |
| IZTACALCO | 3469 | 4.9% | |
| Other values (6) | 10106 | 14.2% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 19 |
|---|---|
| Median length | 12 |
| Mean length | 12.25522489 |
| Min length | 7 |
| Distinct | 1340 |
|---|---|
| Distinct (%) | 1.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 555.5 KiB |
| CENTRO | 1139 |
|---|---|
| AGRICOLA ORIENTAL | 837 |
| ROMA NORTE | 602 |
| MOCTEZUMA 2A SECCION | 558 |
| JARDIN BALBUENA | 498 |
| Other values (1335) |
| Value | Count | Frequency (%) | |
| CENTRO | 1139 | 1.6% | |
| AGRICOLA ORIENTAL | 837 | 1.2% | |
| ROMA NORTE | 602 | 0.8% | |
| MOCTEZUMA 2A SECCION | 558 | 0.8% | |
| JARDIN BALBUENA | 498 | 0.7% | |
| DOCTORES | 490 | 0.7% | |
| SAN FELIPE DE JESUS | 419 | 0.6% | |
| OBRERA | 418 | 0.6% | |
| ROMA SUR | 418 | 0.6% | |
| AGRICOLA PANTITLAN | 417 | 0.6% | |
| Other values (1330) | 65306 | 91.8% |
Frequencies of value counts
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | < 0.1% |
Histogram of lengths of the category
Length
| Max length | 43 |
|---|---|
| Median length | 16 |
| Mean length | 16.86555934 |
| Min length | 4 |
| Distinct | 31911 |
|---|---|
| Distinct (%) | 50.8% |
| Missing | 8327 |
| Missing (%) | 11.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.63623377 |
|---|---|
| Minimum | 0 |
| Maximum | 11702.22 |
| Zeros | 17715 |
| Zeros (%) | 24.9% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 33.45166667 |
| Q3 | 61.21654793 |
| 95-th percentile | 162.2529989 |
| Maximum | 11702.22 |
| Range | 11702.22 |
| Interquartile range (IQR) | 61.21654793 |
Descriptive statistics
| Standard deviation | 130.4086734 |
|---|---|
| Coefficient of variation (CV) | 2.575402309 |
| Kurtosis | 3263.991441 |
| Mean | 50.63623377 |
| Median Absolute Deviation (MAD) | 33.33333333 |
| Skewness | 43.60044406 |
| Sum | 3178689.575 |
| Variance | 17006.42209 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 17715 | 24.9% | |
| 36 | 58 | 0.1% | |
| 29.28 | 57 | 0.1% | |
| 36.6 | 53 | 0.1% | |
| 23.8 | 49 | 0.1% | |
| 25.62 | 48 | 0.1% | |
| 26.84 | 47 | 0.1% | |
| 18.92 | 45 | 0.1% | |
| 1.84 | 45 | 0.1% | |
| 11.6 | 45 | 0.1% | |
| Other values (31901) | 44613 | 62.7% | |
| (Missing) | 8327 | 11.7% |
| Value | Count | Frequency (%) | |
| 0 | 17715 | 24.9% | |
| 0.1199999973 | 2 | < 0.1% | |
| 0.1899999976 | 1 | < 0.1% | |
| 0.19 | 2 | < 0.1% | |
| 0.2399999946 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 11702.22 | 1 | < 0.1% | |
| 11529.44971 | 1 | < 0.1% | |
| 11515.53 | 1 | < 0.1% | |
| 5808 | 3 | < 0.1% | |
| 4919.04 | 1 | < 0.1% |
| Distinct | 56015 |
|---|---|
| Distinct (%) | 78.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1695.847222 |
|---|---|
| Minimum | 0 |
| Maximum | 119726.94 |
| Zeros | 2451 |
| Zeros (%) | 3.4% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6.49 |
| Q1 | 340.9525 |
| median | 896.175 |
| Q3 | 1808.9025 |
| 95-th percentile | 5564.1965 |
| Maximum | 119726.94 |
| Range | 119726.94 |
| Interquartile range (IQR) | 1467.95 |
Descriptive statistics
| Standard deviation | 3555.697457 |
|---|---|
| Coefficient of variation (CV) | 2.096708601 |
| Kurtosis | 195.8775277 |
| Mean | 1695.847222 |
| Median Absolute Deviation (MAD) | 664.505 |
| Skewness | 10.99825971 |
| Sum | 120578129.2 |
| Variance | 12642984.41 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 2451 | 3.4% | |
| 3.05 | 70 | 0.1% | |
| 1.22 | 68 | 0.1% | |
| 3.66 | 42 | 0.1% | |
| 6.71 | 41 | 0.1% | |
| 1.83 | 40 | 0.1% | |
| 7.93 | 39 | 0.1% | |
| 6.1 | 36 | 0.1% | |
| 9.76 | 36 | 0.1% | |
| 4.88 | 36 | 0.1% | |
| Other values (56005) | 68243 | 96.0% |
| Value | Count | Frequency (%) | |
| 0 | 2451 | 3.4% | |
| 0.01 | 3 | < 0.1% | |
| 0.05 | 3 | < 0.1% | |
| 0.12 | 5 | < 0.1% | |
| 0.24 | 18 | < 0.1% |
| Value | Count | Frequency (%) | |
| 119726.94 | 1 | < 0.1% | |
| 117150.91 | 1 | < 0.1% | |
| 101035 | 1 | < 0.1% | |
| 95117.77 | 1 | < 0.1% | |
| 94078.2 | 1 | < 0.1% |
| Distinct | 62214 |
|---|---|
| Distinct (%) | 87.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 111.2173991 |
|---|---|
| Minimum | 0 |
| Maximum | 89691.77344 |
| Zeros | 2451 |
| Zeros (%) | 3.4% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3.867208333 |
| Q1 | 23.01013907 |
| median | 31.69381809 |
| Q3 | 45.48491686 |
| 95-th percentile | 188.219501 |
| Maximum | 89691.77344 |
| Range | 89691.77344 |
| Interquartile range (IQR) | 22.47477779 |
Descriptive statistics
| Standard deviation | 1069.949262 |
|---|---|
| Coefficient of variation (CV) | 9.620340614 |
| Kurtosis | 2599.541185 |
| Mean | 111.2173991 |
| Median Absolute Deviation (MAD) | 10.31349875 |
| Skewness | 43.38268186 |
| Sum | 7907779.51 |
| Variance | 1144791.422 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 2451 | 3.4% | |
| 1.22 | 62 | 0.1% | |
| 3.05 | 55 | 0.1% | |
| 4.27 | 43 | 0.1% | |
| 6.71 | 39 | 0.1% | |
| 4.88 | 38 | 0.1% | |
| 3.66 | 38 | 0.1% | |
| 1.83 | 38 | 0.1% | |
| 9.76 | 37 | 0.1% | |
| 7.93 | 36 | 0.1% | |
| Other values (62204) | 68265 | 96.0% |
| Value | Count | Frequency (%) | |
| 0 | 2451 | 3.4% | |
| 0.009999999776 | 1 | < 0.1% | |
| 0.01 | 2 | < 0.1% | |
| 0.05 | 2 | < 0.1% | |
| 0.05000000075 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 89691.77344 | 1 | < 0.1% | |
| 87179.61 | 1 | < 0.1% | |
| 80555.01 | 1 | < 0.1% | |
| 56873.96 | 1 | < 0.1% | |
| 54935.99 | 1 | < 0.1% |
| Distinct | 37440 |
|---|---|
| Distinct (%) | 52.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 126.7601718 |
|---|---|
| Minimum | 0 |
| Maximum | 89691.77344 |
| Zeros | 8109 |
| Zeros (%) | 11.4% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6.2754167 |
| median | 19.28000034 |
| Q3 | 54.186875 |
| 95-th percentile | 333.6616663 |
| Maximum | 89691.77344 |
| Range | 89691.77344 |
| Interquartile range (IQR) | 47.9114583 |
Descriptive statistics
| Standard deviation | 1095.817805 |
|---|---|
| Coefficient of variation (CV) | 8.64481161 |
| Kurtosis | 2364.161672 |
| Mean | 126.7601718 |
| Median Absolute Deviation (MAD) | 16.85000034 |
| Skewness | 40.71654298 |
| Sum | 9012901.734 |
| Variance | 1200816.661 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 8109 | 11.4% | |
| 1.22 | 330 | 0.5% | |
| 1.83 | 290 | 0.4% | |
| 3.05 | 260 | 0.4% | |
| 4.27 | 216 | 0.3% | |
| 7.93 | 203 | 0.3% | |
| 3.66 | 202 | 0.3% | |
| 4.88 | 201 | 0.3% | |
| 6.1 | 193 | 0.3% | |
| 6.71 | 190 | 0.3% | |
| Other values (37430) | 60908 | 85.7% |
| Value | Count | Frequency (%) | |
| 0 | 8109 | 11.4% | |
| 0.009999999776 | 1 | < 0.1% | |
| 0.01 | 2 | < 0.1% | |
| 0.012 | 1 | < 0.1% | |
| 0.01499999966 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 89691.77344 | 1 | < 0.1% | |
| 87179.61 | 1 | < 0.1% | |
| 80555.01 | 1 | < 0.1% | |
| 56873.96 | 1 | < 0.1% | |
| 54935.99 | 1 | < 0.1% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 555.5 KiB |
| 2 | |
|---|---|
| 3 | |
| 1 |
| Value | Count | Frequency (%) | |
| 2 | 23942 | 33.7% | |
| 3 | 23822 | 33.5% | |
| 1 | 23338 | 32.8% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
| Distinct | 27336 |
|---|---|
| Distinct (%) | 38.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 436.0603092 |
|---|---|
| Minimum | 0 |
| Maximum | 119726.94 |
| Zeros | 8109 |
| Zeros (%) | 11.4% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 10.98 |
| median | 54.055 |
| Q3 | 230.43 |
| 95-th percentile | 1695.6175 |
| Maximum | 119726.94 |
| Range | 119726.94 |
| Interquartile range (IQR) | 219.45 |
Descriptive statistics
| Standard deviation | 2126.152162 |
|---|---|
| Coefficient of variation (CV) | 4.875821343 |
| Kurtosis | 798.0749258 |
| Mean | 436.0603092 |
| Median Absolute Deviation (MAD) | 52.875 |
| Skewness | 22.5073679 |
| Sum | 31004760.1 |
| Variance | 4520523.018 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 8109 | 11.4% | |
| 1.22 | 402 | 0.6% | |
| 1.83 | 316 | 0.4% | |
| 3.05 | 302 | 0.4% | |
| 7.93 | 219 | 0.3% | |
| 1.18 | 217 | 0.3% | |
| 4.88 | 212 | 0.3% | |
| 4.27 | 212 | 0.3% | |
| 3.66 | 211 | 0.3% | |
| 6.1 | 195 | 0.3% | |
| Other values (27326) | 60707 | 85.4% |
| Value | Count | Frequency (%) | |
| 0 | 8109 | 11.4% | |
| 0.01 | 3 | < 0.1% | |
| 0.03 | 1 | < 0.1% | |
| 0.05 | 3 | < 0.1% | |
| 0.08 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 119726.94 | 1 | < 0.1% | |
| 117150.91 | 1 | < 0.1% | |
| 101035 | 1 | < 0.1% | |
| 89691.8 | 1 | < 0.1% | |
| 88204.37 | 1 | < 0.1% |
| Distinct | 71102 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 35551.5 |
|---|---|
| Minimum | 1 |
| Maximum | 71102 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 555.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3556.05 |
| Q1 | 17776.25 |
| median | 35551.5 |
| Q3 | 53326.75 |
| 95-th percentile | 67546.95 |
| Maximum | 71102 |
| Range | 71101 |
| Interquartile range (IQR) | 35550.5 |
Descriptive statistics
| Standard deviation | 20525.52376 |
|---|---|
| Coefficient of variation (CV) | 0.5773462092 |
| Kurtosis | -1.2 |
| Mean | 35551.5 |
| Median Absolute Deviation (MAD) | 17775.5 |
| Skewness | -2.602398177e-17 |
| Sum | 2527782753 |
| Variance | 421297125.5 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 2047 | 1 | < 0.1% | |
| 6806 | 1 | < 0.1% | |
| 10896 | 1 | < 0.1% | |
| 8849 | 1 | < 0.1% | |
| 14994 | 1 | < 0.1% | |
| 12947 | 1 | < 0.1% | |
| 2708 | 1 | < 0.1% | |
| 661 | 1 | < 0.1% | |
| 4759 | 1 | < 0.1% | |
| 21151 | 1 | < 0.1% | |
| Other values (71092) | 71092 | > 99.9% |
| Value | Count | Frequency (%) | |
| 1 | 1 | < 0.1% | |
| 2 | 1 | < 0.1% | |
| 3 | 1 | < 0.1% | |
| 4 | 1 | < 0.1% | |
| 5 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 71102 | 1 | < 0.1% | |
| 71101 | 1 | < 0.1% | |
| 71100 | 1 | < 0.1% | |
| 71099 | 1 | < 0.1% | |
| 71098 | 1 | < 0.1% |
indice_des
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 555.5 KiB |
| BAJO | |
|---|---|
| POPULAR | |
| ALTO | |
| MEDIO |
| Value | Count | Frequency (%) | |
| BAJO | 29248 | 41.1% | |
| POPULAR | 16539 | 23.3% | |
| ALTO | 15516 | 21.8% | |
| MEDIO | 9799 | 13.8% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 7 |
|---|---|
| Median length | 4 |
| Mean length | 4.835644567 |
| Min length | 4 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| Geo Point | Geo Shape | consumo_total_mixto | anio | nomgeo | consumo_prom_dom | consumo_total_dom | alcaldia | colonia | consumo_prom_mixto | consumo_total | consumo_prom | consumo_prom_no_dom | bimestre | consumo_total_no_dom | gid | indice_des | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 19.4552601937,-99.1126617526 | {"type": "MultiPolygon", "coordinates": [[[[-99.1129115375867, 19.4550653645359], [-99.1129039110575, 19.4550969865952], [-99.1128938058784, 19.4551389567115], [-99.1128729568036, 19.455225479435], [-99.1128599916513, 19.4552793145927], [-99.1128517073064, 19.4553136816831], [-99.1128304577774, 19.4554019110187], [-99.1128209627002, 19.4554413076578], [-99.1128144419768, 19.455468378739], [-99.1128112006725, 19.4554818601029], [-99.1128094465635, 19.4554891290213], [-99.1127673954752, 19.4556636643413], [-99.1126750564368, 19.4556441222319], [-99.1125829268458, 19.4556246343204], [-99.1125312646035, 19.4556137011819], [-99.1124876368116, 19.4556044681399], [-99.1123964496968, 19.4555851700534], [-99.112407114284, 19.4555414927387], [-99.1124072221566, 19.4555410509415], [-99.1124082040637, 19.4555370507861], [-99.1124088357197, 19.4555344627467], [-99.1124131803687, 19.4555166617236], [-99.1124191481111, 19.4554922363869], [-99.1124399112582, 19.4554072759451], [-99.1124610843173, 19.4553206088845], [-99.1124824194213, 19.4552332645918], [-99.1124917523294, 19.4551950599282], [-99.1124957752982, 19.4551785897538], [-99.1125044790135, 19.4551429675843], [-99.1125255090046, 19.4550568964739], [-99.1125207704512, 19.4550558385944], [-99.112518377255, 19.4550553043146], [-99.1125276011828, 19.4550205307061], [-99.1125291173938, 19.455014814688], [-99.1125317738271, 19.4550047677427], [-99.112532397356, 19.4550024094826], [-99.1125415443915, 19.454967904362], [-99.1125423971132, 19.4549680862821], [-99.1125470250811, 19.4549690736154], [-99.1125536504781, 19.4549422193018], [-99.1125953856748, 19.4547730208623], [-99.1126772747899, 19.454839012077], [-99.1127560231708, 19.4549024738185], [-99.1127887126709, 19.454928823445], [-99.1127895440717, 19.454929493602], [-99.1128056668503, 19.4549424840561], [-99.1128391496991, 19.4549694676976], [-99.1128649328329, 19.454990245188], [-99.1128903257497, 19.4550107155265], [-99.1129191069356, 19.455033914036], [-99.1129115375867, 19.4550653645359]]]]} | 159.72 | 2019 | Gustavo A. Madero | 42.566364 | 468.23 | GUSTAVO A. MADERO | 7 DE NOVIEMBRE | 53.24000 | 631.00 | 42.066667 | 3.050000 | 3 | 3.05 | 57250 | ALTO |
| 1 | 19.4552601937,-99.1126617526 | {"type": "MultiPolygon", "coordinates": [[[[-99.1129115375867, 19.4550653645359], [-99.1129039110575, 19.4550969865952], [-99.1128938058784, 19.4551389567115], [-99.1128729568036, 19.455225479435], [-99.1128599916513, 19.4552793145927], [-99.1128517073064, 19.4553136816831], [-99.1128304577774, 19.4554019110187], [-99.1128209627002, 19.4554413076578], [-99.1128144419768, 19.455468378739], [-99.1128112006725, 19.4554818601029], [-99.1128094465635, 19.4554891290213], [-99.1127673954752, 19.4556636643413], [-99.1126750564368, 19.4556441222319], [-99.1125829268458, 19.4556246343204], [-99.1125312646035, 19.4556137011819], [-99.1124876368116, 19.4556044681399], [-99.1123964496968, 19.4555851700534], [-99.112407114284, 19.4555414927387], [-99.1124072221566, 19.4555410509415], [-99.1124082040637, 19.4555370507861], [-99.1124088357197, 19.4555344627467], [-99.1124131803687, 19.4555166617236], [-99.1124191481111, 19.4554922363869], [-99.1124399112582, 19.4554072759451], [-99.1124610843173, 19.4553206088845], [-99.1124824194213, 19.4552332645918], [-99.1124917523294, 19.4551950599282], [-99.1124957752982, 19.4551785897538], [-99.1125044790135, 19.4551429675843], [-99.1125255090046, 19.4550568964739], [-99.1125207704512, 19.4550558385944], [-99.112518377255, 19.4550553043146], [-99.1125276011828, 19.4550205307061], [-99.1125291173938, 19.455014814688], [-99.1125317738271, 19.4550047677427], [-99.112532397356, 19.4550024094826], [-99.1125415443915, 19.454967904362], [-99.1125423971132, 19.4549680862821], [-99.1125470250811, 19.4549690736154], [-99.1125536504781, 19.4549422193018], [-99.1125953856748, 19.4547730208623], [-99.1126772747899, 19.454839012077], [-99.1127560231708, 19.4549024738185], [-99.1127887126709, 19.454928823445], [-99.1127895440717, 19.454929493602], [-99.1128056668503, 19.4549424840561], [-99.1128391496991, 19.4549694676976], [-99.1128649328329, 19.454990245188], [-99.1128903257497, 19.4550107155265], [-99.1129191069356, 19.455033914036], [-99.1129115375867, 19.4550653645359]]]]} | 0.00 | 2019 | Gustavo A. Madero | 35.936667 | 107.81 | GUSTAVO A. MADERO | 7 DE NOVIEMBRE | 0.00000 | 115.13 | 28.782500 | 7.320000 | 3 | 7.32 | 57253 | MEDIO |
| 2 | 19.4557195871,-99.1135822797 | {"type": "MultiPolygon", "coordinates": [[[[-99.1137945570018, 19.4557413843853], [-99.1137978215991, 19.4557439048087], [-99.11378070161, 19.4558110134437], [-99.1137773653056, 19.4558240974606], [-99.1137638008581, 19.4558772371653], [-99.1137228572792, 19.4558690346643], [-99.1136693764587, 19.4558583270762], [-99.1135762752929, 19.4558396972671], [-99.1134830884756, 19.4558210402943], [-99.1133884737496, 19.4558020938821], [-99.1134019238935, 19.4557494959927], [-99.1134032298231, 19.4557443942235], [-99.1134095307028, 19.4557197522245], [-99.1134144398465, 19.4557005912445], [-99.1134174139451, 19.4556889339243], [-99.1134216367711, 19.4556724186377], [-99.1134260407035, 19.4556552170967], [-99.1134304446379, 19.4556380065253], [-99.1134335045189, 19.4556260331674], [-99.113455743438, 19.4555390592752], [-99.1135037512912, 19.4555167954755], [-99.1136306039288, 19.4556147669222], [-99.1136590430022, 19.4556367280532], [-99.1136776978192, 19.4556511369364], [-99.1136801343679, 19.4556530159641], [-99.1137143983256, 19.4556794849401], [-99.1137157117785, 19.4556804967244], [-99.1137365271413, 19.4556965678194], [-99.1137945570018, 19.4557413843853]]]]} | 0.00 | 2019 | Gustavo A. Madero | 24.586000 | 122.93 | GUSTAVO A. MADERO | 7 DE NOVIEMBRE | 0.00000 | 197.96 | 32.993333 | 75.030000 | 3 | 75.03 | 57255 | POPULAR |
| 3 | 19.4596467168,-99.1044693641 | {"type": "MultiPolygon", "coordinates": [[[[-99.1055934188952, 19.4599504468458], [-99.1056485811237, 19.4599732128859], [-99.1055362932737, 19.460187555665], [-99.1055039480242, 19.4602500257746], [-99.105449566587, 19.4602267542556], [-99.1051899865892, 19.4601156472326], [-99.1047590198441, 19.4599311729722], [-99.1045932490159, 19.4598602189721], [-99.1045918021456, 19.4598596134429], [-99.1044736634161, 19.4598099150315], [-99.1043646818997, 19.4597640846822], [-99.1041032369369, 19.4596541132877], [-99.1040977826318, 19.4596518267256], [-99.104031655511, 19.459623150575], [-99.1038778127117, 19.4595564443085], [-99.1038639343122, 19.459550425285], [-99.1038615355797, 19.4595493769328], [-99.1036176634111, 19.4594458676292], [-99.1036148743987, 19.4594446836827], [-99.1035980165776, 19.4594375348082], [-99.1035948848914, 19.4594361972262], [-99.1035373914202, 19.4594114069515], [-99.1033437794238, 19.4593279350709], [-99.1033217244214, 19.4593184274327], [-99.1032701897813, 19.4592962128064], [-99.1033042583879, 19.4592350079365], [-99.1033562282176, 19.4591416160939], [-99.1033726459167, 19.4591052204626], [-99.1034028418829, 19.459038288975], [-99.1034585270079, 19.4590613448347], [-99.1034716439504, 19.4590667766511], [-99.1034755657059, 19.459068403482], [-99.1036641813507, 19.4591465004281], [-99.1036726816729, 19.4591500161901], [-99.1036768318861, 19.4591517333997], [-99.1040005572948, 19.4592882942581], [-99.1039979936763, 19.4592951654724], [-99.1040108441475, 19.4593004346112], [-99.1041621561281, 19.4593624802321], [-99.1044903576916, 19.4594970550815], [-99.1045193522363, 19.4595089399406], [-99.1045472901848, 19.4595204000063], [-99.1045864794727, 19.4595364694021], [-99.1046000343834, 19.4595420186814], [-99.1046252402927, 19.4595526921588], [-99.104658499157, 19.4595667638009], [-99.1047209618678, 19.4595931989442], [-99.1047610457669, 19.4596101626131], [-99.1047697745573, 19.4596138590089], [-99.1048648869948, 19.4596541126603], [-99.1048804598532, 19.4596607010975], [-99.1048872372843, 19.4596635660298], [-99.1048891423878, 19.4596608575726], [-99.105335903255, 19.4598444157809], [-99.1054762789341, 19.4599020949441], [-99.1055934188952, 19.4599504468458]]]]} | 0.00 | 2019 | Gustavo A. Madero | 0.000000 | 0.00 | GUSTAVO A. MADERO | NUEVA TENOCHTITLAN | 0.00000 | 253.53 | 84.510000 | 84.510000 | 3 | 253.53 | 57267 | BAJO |
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Last rows
| Geo Point | Geo Shape | consumo_total_mixto | anio | nomgeo | consumo_prom_dom | consumo_total_dom | alcaldia | colonia | consumo_prom_mixto | consumo_total | consumo_prom | consumo_prom_no_dom | bimestre | consumo_total_no_dom | gid | indice_des | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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